AI Product Management

BootCamp

0% Theory, 100% Practice

Gain hands-on AI Product Manager experience

in just four weekends!

NO coding, ONLY product!

AI Solution Product Management Bootcamp (AISPM Bootcamp)

LIVE online video-conference

Theory is essential, but without practice, it is challenging to take on real-world projects with confidence. However, gaining AI product management practice is a multi-year journey, and we live in a fast-paced world where you don’t have time to go through a five-year trial-and-error phase. AI revolution is happening right now, and you want to be ready today! We are proud to introduce the AI Solution Product Management Bootcamp (AISPM Bootcamp) to accelerate your AI product management practice.

The AISPM Bootcamp is a four-week-long online LIVE hands-on practice program. While our original AISPM courses consist of 80% theory and 20% hands-on exercises, the AISPM Bootcamp is 100% hands-on practice. The program starts with group discussions to find an AI product idea and ends with bringing the AI product to life. The data science and software engineering interaction are also simulated by the instructor to give you realistic real-world experience.

Bootcamp Curriculum

Week 1: AI Ideation

(3 hours)

Use proven methods to find AI product ideas. Analyze the buyer utility and value drivers for these AI ideas.

Prerequisites

Schedule

About the Instructor

Adnan Boz

AISPM course is taught by Adnan Boz. Adnan has been delivering products in the software industry for 27 years, with nine years alone in the field of artificial intelligence.

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During his AI product leadership roles at Yahoo, eBay, NVIDIA and his last two startups, he has witnessed the gap between business, engineering, and science first-hand. Working on pain points of customers, teams, and organizations were tremendous opportunities for him to learn the do's and don'ts of AI solution development.

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He is now committed to sharing these extensive learnings with product managers and leaders to help them bridge the gap between business, engineering, and AI science through the adoption of AI leadership techniques and corporate AI strategies. For in-class experience, please join his course at Stanford Continuing Studies.